This role is for one of the Weekday's clients
Salary range: Rs ******* - Rs ******* (ie INR ***** LPA)
Min Experience: 7 years
Location: Gurgaon
JobType: full-time
We are looking for an experienced Engineering Manager to lead the development of an end-to-end Video Telematics and Cloud Analytics platform for aftermarket solutions. This role requires a hands-on technical leader with expertise across embedded systems, AI/ML, computer vision, cloud infrastructure, and large-scale data analytics. You will drive execution across multidisciplinary teams, owning everything from edge-based video intelligence to cloud-powered insights and dashboards.
Key Responsibilities
Platform & Architecture Leadership
Lead the design and delivery of the complete video telematics ecosystem, spanning edge AI, video processing, cloud services, analytics, and alerting systems.
Architect and oversee scalable, secure cloud infrastructure for video ingestion, streaming, storage, OTA updates, analytics, and monitoring.
Define and evolve data pipeline architectures for collecting, processing, storing, and visualizing video, sensor, and telematics data.
Cross-Functional Engineering Management
Lead and coordinate multiple engineering teams, including:
Backend & Cloud teams responsible for APIs, infrastructure, dashboards, and system scalability.
AI/ML and Computer Vision teams deploying DMS/ADAS models and real-time inference pipelines.
Embedded & Hardware teams handling firmware integration, camera tuning, and SoC optimization.
Partner closely with product and business stakeholders to define roadmaps, priorities, and delivery timelines.
Data & Analytics
Collaborate with data science teams to transform video and sensor data into actionable insights.
Drive real-time analytics,



fleet safety scoring, alerts, and predictive intelligence using telematics data.
Operational Excellence
Own overall product quality, reliability, and performance across edge and cloud components.
Support production rollouts, system monitoring, incident management, and continuous updates.
Build, mentor, and scale high-performing engineering teams.
Ensure compliance with security, privacy, and regulatory standards (e.g., GDPR, AIS-140, GSR).
Required Qualifications
Must-Have
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
7+ years of experience in software or product engineering, with at least 2+ years in an engineering leadership or management role.
Solid understanding of cloud-native architectures, video pipelines, edge computing, and microservices.
Hands-on experience with cloud platforms (AWS, GCP, or Azure), Docker, Kubernetes, serverless computing, and RESTful API design.
Solid understanding of AI/ML and computer vision workflows, including model lifecycle, optimization, and deployment.
Experience working with data pipelines, SQL/NoSQL databases, and analytics/monitoring tools such as Redshift, Snowflake, Grafana, or Superset.
Good-to-Have
Experience building automotive, fleet, or aftermarket video telematics solutions.
Knowledge of camera hardware, ISP tuning, video codecs (H.264/H.265), and event-based video recording.
Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics.
Working knowledge of global data privacy and compliance standards (GDPR, CCPA).
Core Skills
Engineering Management • Aftermarket Systems • Cloud Architecture
Video Telematics • Fleet Management Systems • ADAS
Java • RESTful APIs • Analytics • Embedded & Edge Computing

📌 Engineering Manager- Aftermarket (Delhi)
🏢 Weekday AI
📍 Delhi